EY-Parthenon Strategy and Execution Growth Platforms AI Product & Platform Build Sr Director

EY-Parthenon Strategy and Execution Growth Platforms Neuro-Symbolic AI Product & Platform Build Senior Director

The opportunity

EY-Parthenons unique combination of transformative strategy transactions and corporate finance delivers real-world value solutions that work in practice not just on paper. Benefiting from EYs full spectrum of services weve reimagined strategic consulting to work in a world of increasing complexity.

With deep functional and sector expertise paired with innovative AI-powered technology and an investor mindset we partner with CEOs Boards Private Equity and Governments every step of the way enabling you to shape your future with confidence.

The EY Growth Platform (EYGP) integrates business strategy advanced technology and applied AI engineering to deliver scalable AI products and platforms for the worlds largest organizations. We specialize in neuro-symbolic AI combining machine learning with knowledge graphs ontologies rules-based systems and enterprise data assets to produce highly trustworthy explainable auditable AI solutions.

EYGP works across industries to build AI-powered systems that improve decision-making automate complex workflows and unlock new capabilities with enterprise-grade governance Responsible AI and real business measurable outcomes.

Your key responsibilities

Lead the build and scaling of neuro-symbolic AI products

Drive the full lifecycle of AI product development: problem framing requirements architecture build deployment and scale.

Translate complex business challenges into knowledge-driven AI product requirements including reasoning engines knowledge graphs rules and machine learning components.

Ensure products and platforms adhere to enterprise standards for explainability auditability trust and compliance.

Define product strategy roadmap and commercial outcomes

Develop a clear product vision and roadmap aligned to customer needs economic impact and technical feasibility.

Define adoption usage and cost/value metrics that demonstrate measurable business outcomes.

Shape pricing packaging and commercialization pathways for AI platforms and solutions.

Architect enterprise-ready platforms using neuro-symbolic AI

Guide the design of platform components including ontologies semantic data layers inference engines ML integration APIs workflow orchestration and user interfaces.

Ensure platform scalability modularity and extensibility across multiple use cases.

Lead decisions on architecture tooling integration patterns and data pipelines.

Direct cross-functional product and technical teams

Lead teams across product management engineering knowledge engineering design data science/ML and industry specialists.

Establish OKRs sprint structures and delivery governance to ensure predictable high-quality execution.

Coach teams to operate with clarity pace and technical rigor.

Partner with senior executives and enterprise stakeholders

Serve as a trusted advisor to client executives and internal leaders on AI strategy product direction and deployment models.

Align product build with enterprise architecture security data governance and compliance requirements.

Support investment decisions with clear business cases milestones and measurable value.

Ensure Responsible AI and regulatory compliance

Embed Responsible AI principlesincluding transparency fairness bias mitigation and auditabilityinto product design.

Partner with risk legal compliance and cybersecurity to ensure the product meets all regulatory and policy requirements.

Lead teams in documenting reasoning processes knowledge sources and decision pathways.

Skills and attributes for success

To qualify for the role you must have

A bachelors degree in Business Statistics Economics Mathematics Engineering Computer Science Analytics or other related field and 8 years of related work experience; or a graduate degree and approximately 7 years of related work experience.

12 years in product leadership solution delivery enterprise technology or platform build roles.

Proven experience building and launching enterprise-grade products.

Strong understanding of:

o Knowledge graphs and ontologies

o Symbolic reasoning / rules engines

o Machine learning integration patterns

o Data modeling lineage and governance

Demonstrated ability to lead cross-functional teams in ambiguous complex environments.

Executive communication skills with the ability to influence senior stakeholders.

Experience defining product strategy roadmaps and success metrics.

The ability and willingness to travel and work in excess of standard hours when necessary.

You must either reside in or be in a commutable distance to your office location for this position.

Ideally youll also have

Experience with neuro-symbolic AI frameworks knowledge representation or semantic data platforms.

Background working with regulated industries (Financial Services Health Government Energy etc.).

Experience with large-scale cloud architectures (Azure AWS GCP) and enterprise data platforms.

Prior leadership in building reusable AI platforms or multi-tenant enterprise solutions.

Knowledge of how to leverage AI tools in a business setting including Microsoft Copilot.

What we look for

Were interested in talented professionals with the ability to visualize our clients goals and think creatively to facilitate them. If you have an entrepreneurial spirit and a genuine passion for taking on new challenges this role is for you.